Yin Cui

Ph.D. Student

Cornell University

Hi, I am Yin Cui (崔崟 in Chinese, pronounced as /yin tsui/), a 5th-year Ph.D. candidate in the Department of Computer Science at Cornell University and Cornell Tech. I am very fortunate to be a member of SE(3) Computer Vision Group led by Professor Serge Belongie. My research interests lie in the field of Computer Vision and Machine Learning. For more information, please refer to my Curriculum Vitae.

Updates

[2018-07] Paper on few-shot single-view 3d reconstruction accepted by ECCV 2018!
[2018-04] I am co-organizing Joint COCO and Mapilary Recognition Challenge Workshop in ECCV 2018.
[2018-02] 3 papers accepted by CVPR 2018!
[2018-01] I will intern at Google Research this summer.
[2017-12] I am co-organizing the 5​th​ Workshop on Fine-Grained Visual Categorization (FGVC5) in CVPR 2018.
[2017-07] Presentation of our winning entry in iNaturalist Kaggle Challenge at CVPR FGVC4 Workshop. Slides
[2017-03] Paper on fine-grained categorization accepted by CVPR 2017!
[2017-01] I will intern at Google Research this summer.
[2016-12] I am co-organizing the 4​th​ Workshop on Fine-Grained Visual Categorization (FGVC4) in CVPR 2017.
[2016-10] Introducing: the Common Visual Data Foundation (CVDF). The mission is to enable open community-driven research through the creation of academic datasets and competitions. I am fortunate to be part of CVDF.
[2016-04] I am co-organizing ImageNet and COCO Joint Challenges in ECCV 2016.
[2016-03] I will intern at Baidu Institute of Deep Learning this summer.
[2016-03] Paper on fine-grained categorization and dataset bootstrapping accepted by CVPR 2016!
[2015-06] I am co-organizing ImageNet and COCO Joint Challenges in ICCV 2015.
[2015-04] I am co-organizing COCO Captioning Challenge in LSUN workshop in CVPR 2015.
[2015-03] I will be an intern at Media Analytics Department, NEC Labs this summer.
[2015-03] Paper on geolocalization with deep learing accepted by CVPR 2015 for oral presentation!
[2014-08] Start my Ph.D. at Cornell Computer Science!

Publications

2018

  • Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge Belongie, Deborah Estrin. Unbiased Offline Recommender Evaluation for Missing-Not-At-Random Implicit Feedback. ACM Conference on Recommender Systems (RecSys) 2018. [PDF] [Code] [Slides]

  • Guandao Yang, Yin Cui, Serge Belongie, Bharath Hariharan. Learning Single-View 3D Reconstruction with Limited Pose Supervision. European Conference on Computer Vision (ECCV) 2018. [PDF] [Code] [Poster]

  • Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge Belongie. Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018. [arXiv] [Data] [Code] [Poster] [Tensorflow Hub]

  • Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge Belongie. Learning to Evaluate Image Captioning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018. [arXiv] [Code] [Poster]

  • Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, Serge Belongie. The iNaturalist Species Classification and Detection Dataset. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 (Spotlight). [arXiv] [Data] [Tensorflow Object Detection API] [Google AI Blog] [TechCrunch]

2017

  • Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge Belongie. Kernel Pooling for Convolutional Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017. [PDF] [Poster]

  • Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge Belongie, Deborah Estrin. Collaborative Metric Learning. International Conference on World Wide Web (WWW) 2017. [PDF] [Code] [Slides]

2016

  • Yin Cui, Feng Zhou, Yuanqing Lin, Serge Belongie. Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016. [PDF] [arXiv] [Poster]

2015

  • Longqi Yang, Yin Cui, Fan Zhang, John P Pollak, Serge Belongie, Deborah Estrin. PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface. ACM International on Conference on Information and Knowledge Management (CIKM) 2015. [PDF] [Data] [Slides]

  • Tsung-Yi Lin, Yin Cui, Serge Belongie, James Hays. Learning Deep Representations for Ground-to-Aerial Geolocalization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 (Oral). [PDF] [Data] [Extended Abstract] [Poster]

2014

  • Tao Chen, Felix X Yu, Jiawei Chen, Yin Cui, Yan-Ying Chen, Shih-Fu Chang. Object-based visual sentiment concept analysis and application. ACM international conference on Multimedia (MM) 2014. [PDF]

  • Yin Cui, Dong Liu, Jiawei Chen, Shih-Fu Chang. Building a large concept bank for representing events in video. arXiv:1403.7591 (arXiv preprint) 2014. [arXiv]

  • Jiawei Chen*, Yin Cui*, Guangnan Ye, Dong Liu, Shih-Fu Chang (*equal contribution). Event-driven semantic concept discovery by exploiting weakly tagged internet images. International Conference on Multimedia Retrieval (ICMR) 2014. [PDF] [Slides]

  • Yin Cui, Yongzhou Xiang, Kun Rong, Rogerio Feris, Liangliang Cao. A spatial-color layout feature for content-based galaxy image retrieval. IEEE Winter Conference on Applications of Computer Vision (WACV) 2014. [PDF] [Poster]

Miscellaneous

Professional Activities

  • Co-founder of Common Visual Data Foundation (CVDF), 2016 - Present.
  • Organizing Committee of ImageNet and COCO Visual Recognition Workshop at ICCV 2015, ECCV 2016.
  • Organizing Committee of Joint Workshop of the COCO and Places Challenges at ICCV 2017.
  • Organizing Committee of Joint COCO and Mapilary Recognition Challenge Workshop at ECCV 2018.
  • Organizing Committee of Fine-Grained Visual Categorization Workshop at CVPR 2017, CVPR 2018.
  • Organizing Committee of Large-scale Scene Understanding Workshop (MS COCO Captioning Challenge) at CVPR 2015.
  • Program Committee of the ACM Multimedia Geotagging Workshop at MM 2014.
  • Reviewer for CVPR 2015, 2016, 2017, 2018, 2019; ECCV 2016, 2018; ICCV 2017; NIPS 2018; ICML 2019.

Honors and Awards

  • McMullen Fellowship (Sep 2014)
  • Edwin Howard Armstrong Memorial Award (May 2014)
  • Wei Family Private Foundation Special Scholarship (Oct 2013)
  • National Scholarship (Oct 2010)

Teaching Assistant

  • Cornell University: CS 5785 Applied Machine Learning in Fall 2015, Fall 2016, Spring 2017
  • Columbia University: E4810 Digital Signal Processing in Fall 2013; E4830 Digital Image Processing in Spring 2013.

Courses

  • CS 6784 Advanced Topics in Machine Learning with Prof. Kilian Weinberger, Spring 2016
  • CS 6410 Advanced Systems with Prof. Ken Birman, Fall 2015
  • CS 6780 Advanced Machine Learning with Prof. Thorsten Joachims, Sping 2015
  • CS 6820 Analysis of Algorithms with Prof. Eva Tardos, Fall 2014
  • CS 6644 Modeling the World with Prof. Kavita Bala, Fall 2014

Personal Interests